Multiple Linear Regression for Predicting MPG Please find the data here, now follow the steps below: . Extract column 'cylinders', 'displacement', 'horsepower, 'weight' and 'acceleration' as the input features (plus the intercept term to form A) and column 'mpg' as the response (y ). . Split the data into training (first 300 samples) and testing subsets (the rest) . Normalize (via StandardScaler ) the training input A training- . Use a multiple linear regression model to min , |AtrainingX - y traininglly X . Make the prediction for testing set and calculate the Mean Squared Error based on ytesting